

from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__ = "x"  ,	a__ = 1_0**-1_0  ,	a__ = 1  ,	):

			'''simple docstring'''



			a_						:						Any 							= symbols(a__)
			a_						:						Optional[Any] 							= lambdify(a__  ,	a__)
			a_						:						int 							= lambdify(a__  ,	diff(a__  ,	a__))

			a_						:						Tuple 							= starting_point

			while True:
						if diff_function(a__) != 0:
									a_						:						int 							= prev_guess - multiplicity * func(a__) / diff_function(
									    a__)
						else:
									raise ZeroDivisionError("""Could not find root""") from None

						# Precision is checked by comparing the difference of consecutive guesses
						if abs(next_guess - prev_guess) < precision:
									return next_guess

						a_						:						Tuple 							= next_guess


# Let's Execute
if __name__ == "__main__":
	# Find root of trigonometric function
	# Find value of pi
	print(F"""The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}""")

	# Find root of polynomial
	# Find fourth Root of 5
	print(F"""The root of x**4 - 5 = 0 is {newton_raphson("x**4 -5", 0.4 +5J)}""")

	# Find value of e
	print(
	    """The root of log(y) - 1 = 0 is """,
	    F"""{newton_raphson("log(y) - 1", 2, variable="y")}""",
	)

	# Exponential Roots
	print(
	    """The root of exp(x) - 1 = 0 is""",
	    F"""{newton_raphson("exp(x) - 1", 10, precision=0.005)}""",
	)

	# Find root of cos(x)
	print(F"""The root of cos(x) = 0 is {newton_raphson("cos(x)", 0)}""")





from ...configuration_utils import PretrainedConfig
from ...utils import logging


__snake_case				:      Any   		=			logging.get_logger(__name__)

__snake_case				:      Union[str, Any]   		=			{
    """microsoft/cvt-13""": """https://huggingface.co/microsoft/cvt-13/resolve/main/config.json""",
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}



class        A__(a_							):
						"""simple docstring"""






						_A    :				Union[str, Any]       					=			'''cvt'''





						def __init__(    self  ,      _lowercase=3  ,      _lowercase=[7, 3, 3]  ,      _lowercase=[4, 2, 2]  ,      _lowercase=[2, 1, 1]  ,      _lowercase=[64, 192, 384]  ,      _lowercase=[1, 3, 6]  ,      _lowercase=[1, 2, 10]  ,      _lowercase=[4.0, 4.0, 4.0]  ,      _lowercase=[0.0, 0.0, 0.0]  ,      _lowercase=[0.0, 0.0, 0.0]  ,      _lowercase=[0.0, 0.0, 0.1]  ,      _lowercase=[True, True, True]  ,      _lowercase=[False, False, True]  ,      _lowercase=["dw_bn", "dw_bn", "dw_bn"]  ,      _lowercase=[3, 3, 3]  ,      _lowercase=[1, 1, 1]  ,      _lowercase=[2, 2, 2]  ,      _lowercase=[1, 1, 1]  ,      _lowercase=[1, 1, 1]  ,      _lowercase=0.0_2  ,      _lowercase=1e-12  ,      **_lowercase  ,      )     -> Tuple:
									super().__init__(**_lowercase    )
									a_						:						str 							= num_channels
									a_						:						Optional[int] 							= patch_sizes
									a_						:						Dict 							= patch_stride
									a_						:						int 							= patch_padding
									a_						:						int 							= embed_dim
									a_						:						Tuple 							= num_heads
									a_						:						Optional[Any] 							= depth
									a_						:						str 							= mlp_ratio
									a_						:						Optional[int] 							= attention_drop_rate
									a_						:						int 							= drop_rate
									a_						:						List[Any] 							= drop_path_rate
									a_						:						List[Any] 							= qkv_bias
									a_						:						Dict 							= cls_token
									a_						:						Union[str, Any] 							= qkv_projection_method
									a_						:						List[Any] 							= kernel_qkv
									a_						:						Optional[Any] 							= padding_kv
									a_						:						Any 							= stride_kv
									a_						:						Dict 							= padding_q
									a_						:						Optional[int] 							= stride_q
									a_						:						Tuple 							= initializer_range
									a_						:						int 							= layer_norm_eps


